Summary

This is the second part of our roundtable discussion. This conversation explores the use of prompts to reduce bias in AI-generated content and the importance of context and training in achieving desired results. It highlights the need for diversity in AI development and the challenges of addressing bias in AI models. The discussion also touches on the role of education, cultural conditioning, and values in promoting equality and inclusivity. The participants emphasize the importance of supporting and uplifting women in the AI community and the need for awareness of the positive impact of AI.

Takeaways

Chapters

00:00 Acknowledgements

12:51 Increasing Context and Specificity in AI Models

14:14 Addressing Bias in AI through Different Models

14:44 The Importance of Diversity in AI Development

15:43 The Need for Diversity in AI Funding and Recruitment

16:43 Envisioning AI Governance and Regulations

17:55 Ensuring Inclusivity in Therapeutics and Healthcare AI

19:06 The Role of Women in AI Development and Leadership

20:33 Guidelines and Best Practices for AI Development

21:57 Cultural Conditioning and Gender Equality in AI

23:48 Generational Change and Shifting Perspectives on Gender

26:00 Highlighting Positive AI Applications and Best Practices

29:31 Supporting and Encouraging Women in AI

29:43 Raising Awareness and Sharing Knowledge on Social Media

30:31 Building Relationships and Supporting Each Other

31:47 Empowering Women in AI and Encouraging Thought Leadership

35:09 Amplifying Voices and Recognizing Solutions in AI

36:06 Preparing People and Businesses to Use AI Effectively

38:04 Conclusion and Farewell